Reliable Distribution Feeder Reconfiguration Containing Distributed Generation Using Evolutionary Algorithm
Mahmoud Boskabadi
Department of Electrical and Electronic Engineering, University of Sistan and Baluchestan, Zahedan, Iran.
Mahmoud Oukati Sadegh *
Department of Electrical and Electronic Engineering, University of Sistan and Baluchestan, Zahedan, Iran.
*Author to whom correspondence should be addressed.
Abstract
Aims: One of very important method for saving electrical energy and loss reduction in distribution systems is distributed feeder reconfiguration (DFR). This process is carried out by changing distribution system topology by opening and/or closing of circuit breakers.
Place and Duration of Study: Department of Electrical and Electronic Eng, University of Sistan and Baluchestan, Zahedan, Iran, 2015-2016.
Methodology: Status of the circuit breakers is optimally determined to have an improved system operation and reduced power losses.
Results: This paper proposes a multi-objective evolutionary method for distribution feeder reconfiguration. The multi-objectives optimization minimizes power losses and improves reliability of the system. For this purpose, a particle swarm optimization algorithm is used for solving the problem.
Conclusion: Simulation results show the efficiency of the proposed method for DFR.
Keywords: Feeder reconfiguration, distributed generation, hybrid evolutionary algorithm, loss reduction